Crypto Daily WatchList And Screener [M]
Hi, this is a watchlist and screener indicator designed for traders in the field of cryptocurrencies who want to monitor developments in other currency pairs and indices.
The indicator consists of two tables. One of them is the table containing indices such as BTC dominance, total, total2, which allows you to track market developments and changes. In this table, you will find price information, daily change, stochastic, and trend information.
The other table includes cryptocurrencies like BTC/USDT, ETH/USDT, DOT/USDT, and more. In this table, you will see real-time prices, daily volume, daily change, stochastic, the correlation coefficient between the pair and Bitcoin, and the trend value calculated based on MACD.
The "Customize" section in the settings enables you to personalize the appearance of the tables according to your preferences.
加密數字貨幣
Blockchain FundamentalThis indicator is made for traders to harness fundamental blockchain data for better decision-making. Unlike traditional tools, this indicator doesn't depend on standard technical indicators. It offers a novel perspective by focusing on core blockchain metrics like capitalization, miner activity, and other intrinsic data elements. I've designed a distinct scoring logic, exclusive to BF, ensuring it's user-friendly and provides actionable insights for traders at all levels.
Mainly created for Bitcoin , but can be applied to any other crypto assets in cost of losing some metrics in the analysis.
Ethereum chart:
Features:
Customizable Moving Averages:
Choose from an array of moving averages, with the flexibility to adjust the length for a tailored analysis, aiding in pinpointing asset trends.
Blockchain Metrics Integration:
Incorporates a range of blockchain metrics such as Market Cap to Realised Cap ratio, Spent Output Profit Ratio, ATH Drawdown, and more.
Blockchain Metrics Evaluation:
Each metric can be toggled on/off to customize the analysis. Using default settings, traders can use all of the metrics combined.
Every metric is essentially evaluated on a scale from -100 to 100 and then combined with others. If any metric is uncertain about its direction (equals to 0), then the score of it is not accounted in a final calculation.
Kalman Filter:
This indicator offers the option to apply a Kalman filter to the signals, enhancing the smoothness and accuracy of the indicator’s output. This is my approach to mitigate the noise in the final output.
Signal Oscillator:
Displays the aggregated score of all selected blockchain metrics.
Offers visual signals with adjustable upper and lower bounds for easy interpretation based on particular asset observation.
Visual Elements:
Signal Oscillator:
A visual representation of the aggregated blockchain fundamental score.
(White line for a raw calculation, orange line for kalman-filtered one)
Signal Counter:
Displays the count of metrics currently being considered in the fundamental score calculation. (grey line at the middle of an indicator)
Buy/Sell Signal Coloring:
The background color changes to indicate potential buying or selling opportunities based on user-defined bounds.
Usage:
Analysis:
Use the signal oscillator to identify potential market tops and bottoms based on blockchain fundamental data.
Adjust the bounds to customize the sensitivity of buy/sell signals.
Customization:
Enable/disable specific blockchain metrics to tailor the indicator to your analytical needs.
Adjust the moving average type and length for better analysis.
Integration:
Combine with other technical indicators to create a comprehensive trading strategy.
Utilize in conjunction with volume and price action analysis for enhanced decision-making. Every output could be used in traders custom strategies and indicators.
FIRST-HOUR TOOL V.1.8.08.23Three horizontal lines are drawn on the chart to represent session prices. These prices are calculated based on the user-specified session:
"FirstHour Session High" represents the highest price reached during the firsthour session.
"FirstHour Session Open" represents the opening price of the firsthour session
"FirstHour Session Low" represents the lowest price reached during the firsthour session.
These prices are respectively colored with light blue, light yellow, and light pink.
The chart background can change color based on whether the current time is within the specified session. If the current time is within the session, the background will be colored in semi-transparent aqua green. Otherwise, it will remain transparent.
Upward-pointing triangle markers are used to highlight points where the closing price crosses above (crossover) or below (crossunder) the session levels.
These markers appear below the corresponding bar.
They are colored based on the type of crossover:
Yellow for crossover above the "FirstHour High"
Red for crossover above the "FirstHour Open"
Green for crossover above the "FirstHour Low"
Alerts:
Alert messages are generated when crossovers or crossunders of the closing price relative to the session levels occur.
The alerts appear once per bar. Alerts are generated for the following events:
Crossover of the price above the "Session High" with the message "High First Hour Crossover."
Crossunder of the price below the "Session Open" with the message "Open First Hour Crossunder."
Crossunder of the price below the "Session Low" with the message "Low First Hour Crossunder."
Crossover of the price above the "Session Low" with the message "Low First Hour Crossover."
In summary, this indicator provides a visual representation of session prices and events, helping traders spot significant crossovers and crossunders relative to key price levels.
Author @tumiza999
Extreme Reversal SignalThe Extreme Reversal Signal is designed to signal potential pivot points when the price of an asset becomes extremely overbought or oversold. Extreme conditions typically signal a brief or extensive price reversal, offering valuable entry or exit points. It's important to note that this indicator may produce multiple signals, making it essential to corroborate these signals with other forms of analysis to determine their validity. While the default settings provide valuable insights, it might be beneficial to experiment with different configurations to ensure the indicator's efficacy.
Two primary conditions define extremely overbought and oversold states. The first condition is that the price must deviate by two standard deviations from the 20-day Simple Moving Average (SMA). The second condition is that the 3-day SMA of the 14-day Stochastic Oscillator (STO) derived from the 14-day Relative Strength Index (RSI) is above or below the upper or lower limit.
Oversold states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI falls below the lower limit, suggesting a buy signal. These are visually represented by green triangles below the price bars. Overbought states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI rises above the upper limit, suggesting a sell signal. These are visually represented by red triangles above the price bars. It's also possible to set up automated alerts to get notifications when either of these two conditions is met to avoid missing out.
While this indicator has traditionally identified overbought and oversold conditions in various different assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, trend indicators can greatly improve the decision-making process when planning for entries and exit points.
EMA Power BandsHello!
Today, I am delighted to introduce you to the "EMA Power Bands" indicator, designed to assist in identifying buying and selling points for assets moving in the markets.
Key Features of the Indicator:
EMA Bands: "EMA Power Bands" utilizes Exponential Moving Average (EMA) to create trend lines. These bands automatically expand or contract based on the price trend, adapting to market conditions.
ATR-Based Volatility: The indicator measures price volatility using the Average True Range (ATR) indicator, adjusting the width of the EMA bands accordingly. As a result, wider bands form during periods of increased volatility, while they narrow during lower volatility.
RSI-Based Buy-Sell Signals: "EMA Power Bands" uses the Relative Strength Index (RSI) to identify overbought and oversold zones. Entering the overbought zone generates a sell signal, while entering the oversold zone produces a buy signal.
Trend Direction Identification: The indicator assists in determining the price trend direction by analyzing the slope of the EMA bands. This allows you to identify periods of uptrends and downtrends.
Visualization of Buy-Sell Signals: "EMA Power Bands" visually marks the buy and sell signals:
- When RSI enters the overbought zone, it displays a sell signal (🪫).
- When RSI enters the oversold zone, it indicates a buy signal (🔋).
- When a candle closes above the emaup line, it displays a bearish signal (🔨).
- When a candle closes below the emadw line, it indicates a bullish signal (🚀).
By using the "EMA Power Bands" (EMA Güç Bantları) indicator, especially in trend-following strategies and periods of volatility, you can make more informed and disciplined trading decisions. However, I recommend using it in conjunction with other technical analysis tools and fundamental data.
*You can also use it with CCI as an example.
With this indicator, you can identify potential trend reversals in advance and strengthen your risk management strategies.
So, go ahead and try the "EMA Power Bands" (EMA Güç Bantları) indicator to enhance your technical analysis skills and make more informed trading decisions!
[volfgang] WAVEA compass to the financial charts.
The Volfgang WAVE Indicator helps you to decode complex market trends and make informed decisions in your trading.
Quick Summary
The WAVE has a signal line which alternates between Red or Blue.
Red is bearish and Blue is bullish.
It turns Blue when the WAVE line crosses above the signal and holds for 1 bar.
it turns Red when the WAVE line crosses below the signal and holds for 1 bar.
(You can change the signal line’s length in the settings, the default is 3 which is suited towards Day Trading – For Swing Traders I recommend 4 or 5 – For Investors 6 to 9).
The WAVE line will change colour to alert you when price is potentially pivoting.
When the WAVE is WHITE, the trend is currently Bearish but could flip bullish soon.
When the WAVE is GREEN, the trend is Bullish and there is strong Bullish momentum.
When the WAVE is ORANGE, it means trend is bullish but there is danger of a Bearish Reversal.
When the WAVE is PINK it means there is strong Bearish Momentum.
WAVETrend Scanner
The WAVETrend Scanner can be enabled in the settings and gives you a quick overview of the current trend across 8 potential timeframes:
You can use this to make sure the trades you are taking on lower timeframes align with the current bias on higher term timeframes, thus ensuring a higher chance of success.
WAVE Colours
The background colour of the WAVE also changes according to the current trend across multiple timeframes. The scanner is constantly measuring the current trend across 7 timeframes;
When 4 timeframes line up Bullish, the WAVE is LIGHT BLUE (Cyan)
When 5 timeframes line up Bullish, the WAVE is DARK BLUE (Navy)
When 6+ timeframes line up Bullish, the WAVE is GREEN
When 4 timeframes line up Bearish, the WAVE is ORANGE
When 5 timeframes line up Bearish, the WAVE is RED
When 6+ timeframes line up Bearish, the WAVE is PINK
Divergence Checker & Buy/Sell Signals
The BUY and SELL Signals are represented by a BLUE or RED Histogram line that extends from the WAVE to the 0 Line.
A BUY signal shows when a Crossover occurs & there is a Bullish Diversion Present within the last 50 bars.
A SELL signal appears when a Crossunder occurs & there is Bearish Diversion present within the last 50 bars.
You can change the length of the Divergence Checker in the settings, default is 50 bars.
Under The Hood
The WAVE pulls information from multiple sources within a set period such as;
Close Price
Highest Price
Lowest Price
EMA
The script applies a set of complicated algebraic equations. Which essentially measures the and of recent price action.
Then it uses EMA's to measure from the and , whilst applying more weight to recent price action.
The functions then calculate more averages which measure the difference from and .
Next, it uses all of these calculated averages to create a value that represents the current WAVE condition. This calculation will determine whether the WAVE is in a bullish or bearish trend.
This sum is then smoothed out to get one more value, which is used to display the info box content that allows us to see exactly at what price the WAVE will keep rising or keep falling.
One final calculation also predicts the point at which the WAVE will flip trend. It uses similar calculations to the "Keep Rising/Falling" prediction function, but its aim is to predict the exact price at which the WAVE will cross.
What gives the WAVE indicator an edge over most Stochastic Indicators, is how it uses Pinescript's "request.security" function to pull information from multiple timeframes in order to generate plots, info data and colours to add much more relevant information to the chart which you can use to make informed trading decisions. This is what allows the WAVETrend Scanner to work.
The WAVE indicator is designed to work with all markets and asset types.
BBO-ALPHA-PHANTOMHello friends, this is the second time I am publishing this script, hopefully the description will be sufficient and you can use it reliably.
Script Description:
The script consists of several indicators and generates buy and sell signals based on their calculations. Here's a breakdown of the functions and indicators used in the script:
Moving Average Convergence Divergence (MACD):
Fast Length: The number of periods used for calculating the fast moving average.
Slow Length: The number of periods used for calculating the slow moving average.
Source: The price source used for calculations (default is the closing price).
Signal Smoothing: The number of periods used for smoothing the signal line.
Oscillator MA Type: The type of moving average used for the oscillator line (default is Exponential Moving Average).
Signal Line MA Type: The type of moving average used for the signal line (default is Exponential Moving Average).
Benefit: MACD is a trend-following momentum indicator that helps identify potential trend reversals, bullish or bearish market conditions, and generate buy and sell signals based on the crossovers of the oscillator and signal lines.
Relative Strength Index (RSI):
RSI Length: The number of periods used for calculating RSI.
RSI Source: The price source used for RSI calculations (default is (high + low + close) / 3).
MA Type: The type of moving average used for smoothing RSI values (default is Simple Moving Average).
MA Length: The number of periods used for smoothing RSI values.
Benefit: RSI is a momentum oscillator that measures the speed and change of price movements. It helps identify overbought and oversold conditions, potential trend reversals, and generate buy and sell signals based on the crossovers of RSI and its moving average.
Money Flow Index (MFI):
MFI Length: The number of periods used for calculating MFI.
Source: The price source used for MFI calculations (default is (high + low + close) / 3).
Benefit: MFI is a momentum indicator that uses both price and volume data to measure buying and selling pressure. It helps identify overbought and oversold conditions and potential trend reversals.
Directional Movement Index (DMI):
Signal Length: The number of periods used for smoothing the ADX line.
Length: The number of periods used for calculating DMI.
Benefit: DMI consists of three lines: ADX, +DI (Plus Directional Indicator), and -DI (Minus Directional Indicator). ADX measures the strength of a trend, while +DI and -DI indicate the direction of the trend. DMI helps identify trend strength, trend direction, and potential trend reversals.
Stochastic Oscillator:
SmoothK: The number of periods used for smoothing %K line.
SmoothD: The number of periods used for smoothing %D line.
Length RSI: The number of periods used for calculating RSI within Stochastic.
Length Stoch: The number of periods used for calculating Stochastic.
Benefit: Stochastic Oscillator is a momentum indicator that compares the closing price of an asset to its price range over a specific period. It helps identify overbought and oversold conditions and potential trend reversals.
Moving Averages (MA):
MA50: Simple Moving Average with a length of 50 periods.
MA200: Simple Moving Average with a length of 200 periods.
Benefit: Moving averages are commonly used to
Advantages of the script compared to common indicators:
Comprehensive analysis: The script combines several indicators such as MACD, RSI, MFI, DMI, Stochastic Oscillator and Moving Averages. It thus provides a broader and more comprehensive view of the market and its development.
Synergy of indicators: Using multiple indicators increases the reliability and confirmation of signals. Combining different indicators can provide potentially stronger and more accurate signals of a trend change.
Identifying Oversold and Overbought Levels: RSI, MFI and Stochastic Oscillator are used to identify oversold and overbought levels in the market. This can help uncover opportunities to buy or sell in line with these levels.
Identifying trends and their strength: DMI and Moving Averages help identify trends in the market and provide information about their strength. This can help traders in deciding the appropriate time to enter and exit the market.
Early signal generation: The script generates signals based on a combination of various indicators, which can help traders identify potential trading opportunities at an early stage.
The main thing for me is that it helps me from overtrading, I only trade when I get an alert or see it on the chart. I recommend
I find it best to trade in the 1h and 2h time frame. The shorter ones like 15min and 30min are perfect for me to get out of the position.
It is important to note that no indicator guarantees 100% accuracy in generating signals and trading on financial
Volume Accumulation Oscillator (VAO)The Volume Accumulation Oscillator (VAO) is a powerful momentum-based indicator designed to assess the strength of volume accumulation in a given asset. It helps traders identify periods of intense buying or selling pressure and potential trend reversals.
The VAO calculates the Net Volume Accumulation (NVA) by considering the volume, open, close, high, and low prices. It then applies exponential moving averages (EMAs) to smooth the NVA and calculates the VAO by comparing the smoothed NVA with its EMA over a specified signal period.
The VAO is plotted as a line chart, providing a clear visual representation of its values. Positive VAO values indicate strong bullish volume accumulation, suggesting potential upward price movement. Conversely, negative VAO values indicate significant selling pressure and the possibility of a downtrend.
To enhance the analysis, the indicator includes reference levels such as the zero line and +/-1 levels. These levels serve as important reference points for interpreting the VAO values and identifying key turning points in the market.
Additionally, the VAO histogram is included, which further illustrates the strength and direction of volume accumulation. The histogram bars are color-coded, with green bars representing positive VAO values and red bars representing negative VAO values.
The Volume Accumulation Oscillator is a versatile tool that can be used in various trading strategies. Traders can look for divergences between the VAO and the price chart to identify potential trend reversals. Combining the VAO with other technical analysis techniques can provide valuable insights into market dynamics and help traders make informed trading decisions.
Note: It is recommended to customize the indicator's parameters and conduct thorough backtesting to align it with your specific trading strategy and preferences before using it for live trading.
Disclaimer: This indicator is provided for educational and informational purposes only. Trading involves risks, and it is important to exercise caution and conduct your own analysis before making any investment decisions.
Buy/Sell singal with RSI, MA, RSI DIV1. Overview
I'll explain a strategy that uses the simple but powerful technical analysis techniques RSI, MA, VOLUME, and RSI Divergence to identify Buy/Sell signals. This strategy utilizes Pine Script of TradingView.
Our strategy is based on four fundamental components.
- RSI (Relative Strength Index)
- MA (Moving Averages)
- Volume
- RSI Divergence
By using these four techniques together, we can find potential buy/sell signals.
2. Code Interpretation
To understand the TradingView code we used, let's examine each section one by one.
- RSI Calculation: RSI is a technical indicator that measures the relative strength of a price and is often used to identify overbought or oversold conditions. In our code, we calculate the RSI over a given period.
- Moving Averages: This code calculates short-term and long-term moving averages. Moving averages represent the average price over a specific period and are used to identify long-term price trends. Their intersections are considered potential buy/sell signals.
- RSI Divergence: RSI divergence represents a mismatch between the price trend and the RSI trend. It occurs when the price makes a new high or low, but the RSI does not. This indicates a weakening of the price trend and is considered a powerful signal of trend change.
- Volume Calculation: When the volume of transactions occurring during a specific period is x times more than the average volume, it is considered a signal of trend change.
- Buy/Sell Signals: Each technical indicator generates buy or sell signals. These signals are marked as labels on the chart. In our strategy, buy/sell signals are generated when the RSI exits overbought or oversold zones, when the moving averages cross, and when RSI divergence occurs.
3. Signal Detection
3.1 Buy/Sell Signals Using RSI
The RSI indicator has a value between 0 and 100, with values over 70 generally considered the overbought zone and those under 30 as the oversold zone.
A buy signal is generated when the RSI rises from the oversold zone.
Conversely, a sell signal is generated when the RSI falls from the overbought zone.
3.2 Detecting Buy/Sell Signals Through Moving Average Crosses
Moving averages help identify price trends.
A buy signal is generated when the short-term moving average crosses the long-term moving average upward.
Conversely, a sell signal is generated when the short-term moving average crosses the long-term moving average downward.
The color of each bar can be changed according to each signal.
3.3 Detecting Signals When Volume is X Times Higher Than Average
When the volume is x times higher than average, a marker is placed above each bar.
A green marker is displayed when the buy volume is high.
A red marker is displayed when the sell volume is high.
4. Conclusion
This technical analysis strategy is very simple but effective. Using RSI, moving averages, volume, and RSI divergence, you can find effective buy/sell signals.
By leveraging Pine Script in TradingView, you can easily apply this strategy and find signals in real-time.
Always remember that risk management is important in trading. This strategy may not be effective in all market conditions, so always use appropriate risk management strategies alongside it.
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1. 개요
간단하지만 강력한 기술적 분석 전략인 RSI, MA, VOLUME, RSI Divergence를 사용한 Buy/Sell 신호 표시 전략에 대해 설명드리겠습니다.
이 전략은 트레이딩뷰의 Pine Script를 활용합니다.
우리의 전략은 다음 네 가지 기본 구성 요소에 기반합니다.
- RSI (Relative Strength Index)
- MA (Moving Averages)
- 거래량
- RSI Divergence
이 네 가지 기법을 함께 사용하여 잠재적인 매수/매도 신호를 찾아냅니다.
2. 코드 해석
우리가 사용한 트레이딩뷰 코드를 이해하기 위해 각 섹션을 하나씩 살펴보겠습니다.
RSI 계산: RSI는 가격의 상대적 강도를 측정하는 기술적 지표로, 과매수 또는 과매도 조건을 식별하는 데 자주 사용됩니다. 우리의 코드에서는 주어진 기간 동안의 RSI를 계산합니다.
이동평균: 이 코드에서는 단기 이동평균과 장기 이동평균을 계산합니다. 이동평균은 특정 기간 동안의 가격 평균을 나타내며, 가격의 장기적인 트렌드를 식별하는 데 사용됩니다. 이들의 교차점은 잠재적인 매수/매도 신호로 간주됩니다.
RSI Divergence: RSI 다이버전스는 가격 추세와 RSI 추세 사이의 불일치를 나타냅니다. 가격이 새로운 고점 또는 저점을 만들면서 RSI가 그렇지 않을 때 발생합니다. 이것은 가격 트렌드의 약화를 나타내며 강력한 트렌드 변화 신호로 간주됩니다.
VOLUME 계산 : 특정 구간동안의 평균 거래량보다 x배 이상 거래량이 많이 발생하였을때 트렌드 변화 신호로 간주됩니다.
매수/매도 신호: 각 기술적 지표는 매수 또는 매도 신호를 생성합니다. 이러한 신호는 차트에 라벨로 표시됩니다. 우리의 전략에서는 RSI가 과매도 또는 과매수 영역을 벗어날 때, 이동평균이 교차할 때, 그리고 RSI 다이버전스가 발생할 때 매수/매도 신호를 생성합니다.
3. 신호 감지
3.1 RSI를 활용한 매수/매도 신호
RSI 지표는 0에서 100 사이의 값을 가지며, 일반적으로 70 이상은 과매수 영역, 30 이하는 과매도 영역으로 간주됩니다.
과매도 영역에서 RSI가 상승하면 매수 신호가 생성됩니다.
반대로, 과매수 영역에서 RSI가 하락하면 매도 신호가 생성됩니다.
3.2 이동평균 교차로 매수/매도 신호 감지
이동평균은 가격의 트렌드를 식별하는 데 도움이 됩니다.
단기 이동평균이 장기 이동평균을 상승으로 교차하면 매수 신호가 생성됩니다.
반대로, 단기 이동평균이 장기 이동평균을 하락으로 교차하면 매도 신호가 생성됩니다.
각 신호에 따라 해당 봉의 색깔도 변경할 수 있습니다.
3.3 평균 거래량보다 x배 이상 거래량이 발생했을 때 신호 감지
평균 거래량보다 x배 이상 거래량이 발생했을 때 각 봉 위에 표시가 됩니다.
매수 거래량이 많을 경우 초록색으로 표시가 됩니다.
매도 거래량이 많을 경우 빨간색으로 표시가 됩니다.
* 모든 기준이 되는 수치와 색상은 설정에서 개인의 취향에 맞게 설정 가능합니다.
4. 결론
이 기술적 분석 전략은 매우 간단하지만 효과적입니다. RSI, 이동평균, 거래량, RSI 다이버전스를 사용하여 효과적인 매수/매도 신호를 찾을 수 있습니다.
트레이딩뷰의 Pine Script를 활용하여 이 전략을 쉽게 적용하고, 실시간으로 신호를 찾아낼 수 있습니다.
항상 거래에 있어서는 리스크 관리가 중요하다는 점을 명심하십시오. 이 전략이 모든 시장 상황에 효과적이지는 않을 수 있으므로, 항상 적절한 리스크 관리 전략을 함께 사용해야 합니다.
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading.
The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey.
The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market.
While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
Hani angle support and resistanceBy examining the intersections of the average price in the past, this indicator identifies points as support and resistance, according to which it determines a diagonal line to the last average price in the future.
As you can see in the picture, these points are more important than floors and ceilings, and they can be cited more
According to the 360-period cycles of the market, it has the best performance
In this indicator, there are two lines that show the average price in different periods.
Ingulf candles and the pattern of three return candles are used for the signal
In the scalp model, the pattern of three consecutive candles and one engulfing candle is used
In the model of circles, Engulfing candle is also used according to algo
By default, this stop loss calculation is twice the size of the signal candle, which you can change according to the type of transaction.
Enter the amount of your balance and change the amount of contract size according to the currency
For example, the contract size is Bitcoin (1) and the contract size is EURUSD (100,000) and XAUUSD (100) and enter the amount of risk in each transaction.
At the time of the signal, you will see the exact size required to enter the transaction (not including the commission, because each exchange has a different commission and a different spread).
For a better view of the market, you can pay special attention to the distance and angle of the two lines.
Support and resistance lines are continuously displayed for 500 candles to be considered in the future of the market
This indicator requires basic knowledge of candlestick and it is better for the trader to make the final decision according to the market situation. However, an alarm has also been set that sends the stop loss amount for use in the web hook.
The price at the moment of the signal is also alarmed for comparison so that the signal can be compared at the time of the alarm.
The size of the ATR band is used to measure the wave if the waves are large enough to send cleaner signals.
The green label: distance between the last intersection and the average price.
The yellow label: distance between two periods of the average price
White label: lot size to enter the market
pink label: ATR size
Bitcoin SOPR HeatmapSOPR (spent output profit ratio) is a metric, provided by Glassnode to measure if most BTC are moved in profit or in loss. The higher SOPR is, the more profits are realized (theoretically) and vice versa.
This indicator shows SOPR visually as a heatmap directly on the Bitcoin chart.
Cold temperatures (blue, purple) show bear markets. Bear market peaks should be visible in dark purple.
Hot temperatues (yellow, red) show bull markets. Hype phases should be visible in red.
I recommend to hide chart when using the indicator. Otherwise you can also enlarge the heatmap in the settings.
The indicator works best on BTCUSD standard charts on daily timeframe. Otherwise you will see an error message.
Boftei's StrategyI wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you.
This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile)
Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines.
The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21<ema_55 and ema_55<ema_89 and ema_89<ema_144) I banned long trading. If these two inequalities are not met, then this indicates that the market is flat, and during it it is allowed to enter any transactions, because a flat is a good moment to catch massive movements in the future by entering a transaction. (This is all visualized using semi-transparent thick lines of green, yellow and red colors.)
By default, all parameters are adjusted for the btc/usd (bitstamp) pair. Best of all, the strategy shows itself if 1 candle = 1 day.
At the time of writing, on the pair btcusd (bitstamp) (1d) with pyramiding = 1, the strategy shows a profit of 64728896%. If pyramiding is increased by 1, then the profit will be greater, but I still prefer pyramiding = 1.
There is a possibility that my strategy is doing complete nonsense. I don't vouch for her.
If you select parameters for other pairs of currencies/stocks, then you should not change anything in the fan of lines.
That's all, probably.
Degen IndicatorThis indicator uses candle patterns I have identified by studying cryptocurrency charts. The main goal is to help you tune out noise and price swings so you are better able to trade with the trend. If you can trade with the trend you will be profitable. Don’t fight the trend.
Signals:
Orange T with Orange Bar - Top
Grey T - Weak Top
Orange P - Pause (Minimal pullback expected before additional upside)
Grey B - Weak Bottom
Green B - Possible Bottom
Blue B with Blue Bar - Likely Bottom
Grey D - Weak Dump
Pink D - Possible Dump
Red D - Likely Dump
Bar Colors:
Grey Green #699969 (Slightly Bullish)
Green #2ca02c (Bullish)
Bright Green #00ff00 (Strong Bullish)
Light Pink #cf6666 (Slightly Bearish)
Red #d62728 (Bearish)
Bright Red #ff0000 (Strong Bearish)
Orange Top #ff9800 (Local price maximum)
Blue Bottom #0066ff (Local price minimum)
Recommended Settings:
Change the Body and the Wick to be Grey. Deselect Border.
Purpose:
Making the default bar colors Grey will help you tune into the trend. Look for clusters of candles where only one non Grey color is present. If there are 3 - 5 or more of the same color also pay attention to the size of the candles. You can see the strength of the moves if they are growing or shrinking in size. Oftentimes a trend will end with an Engulfing Candle after a cluster of candles with the other color. Use this as a sign to exit your position and/or enter a new position.
Advice:
Start on HTF and find the clusters of Tops and Bottoms. Dial into lower timeframes to find the local Tops and Bottoms for entry points. Look for clusters of signals. Be ready for one candle to signify a change in the trend then look for confirmation with additional candles. Do not think about Tops or Bottoms as absolutes. A Top that gets beat with a Bullish Engulfing candle is telling you the Bullish strength is strong. Do not short Grey D’s. Do not long Grey B’s. As always, use these signals in conjunction with your other preferred methods of trading to find confluence and trade with the trend. On LTF this indicator will be very noisy. On HTF it will be more stable.
Logic:
Signals were developed by myself and subjected to extensive backtesting. Each signal uses various combinations of: candle names (Doji, Morning Star, Bearish Engulfing, Bullish Engulfing, etc), volume, price change as a percent, price change as an absolute number, length of the wick the open, close, high, and low candle values. The signals incorporate these values ranging from one candle prior to many candles prior attempting to predict the trend.
Logic not used:
Moving Averages, RSI, OBV, VPVR and Bollinger Bands.
[MiV] MA Screener v1.0In my trading I stick to the following strategy: I buy an asset above the 100/200 moving average and then sell it.
The most problematic thing in all this is to look for assets that are above the 100 or 200 moving average, and to assess how "far" the price is from that moving average.
In fact, to solve this problem I created this indicator.
It works with 30 different assets and displays the state of its two moving averages, whether the price is higher or not, and how much higher the price is from that level.
Trendmaster - Crypto Flow IndexWhat it is:
The Trendmaster Crypto Flow Index is a unique tool designed to give you an overview of the performance of different Crypto market sectors and sub-sectors. It helps you to identify where you should be focusing your investments for maximum portfolio efficiency and profitability.
What it does:
The Crypto Flow Index presents a visual overview of the flows of retail and institutional capital into the four main market sectors: Large Caps, Alts Coins, Shit Coins, and Stable Coins as well as several other sub-sectors. Each sector is assigned a "Flow Score", which indicates its current performance, demand, and strength in percentage terms. The "Flow Score" also provides insights into the current stage of the market cycle and the typical over and underperformances of assets that correlate to it. Additionally, the index factors in the sector have a "Correlation" to the broader market, allowing you to see the best sectors for trading and investing, either for positional hedging or differential plays.
How to Use it:
To use the Trendmaster Crypto Flow Index, you can simply observe the evolving colored line within the indicator and the table overview. You can identify which sectors are outperforming or underperforming the general market and make informed decisions about where to direct your focus and funds. By monitoring the transitions of Flow between sectors, you can gain invaluable insights into the market cycle and the typical over and underperformances of assets that correlate to it. This information will help you to maximize portfolio efficiency by targeting different market sectors based on their performance to the overall cryptocurrency market. The index covers different sectors, including Large caps, Alts, Shit, Stables, AI, Defi, Dex, Exchange, Gaming, Meme, Metaverse, Nft, Privacy, Smart, and Sports.
Examples of Cryptocurrencies represented in the different market sectors:
Large caps: The biggest market cap cryptocurrencies such as BTC and ETH.
Alts: High-cap and high-volume digital assets that are smaller than large caps, such as LTC and XRP.
Shit coins: Smaller cap projects that are highly speculative and experience significant price volatility, such as BAT and HOT.
Stables: Fiat-pegged assets that provide a stable value, such as USDT and USDC.
AI: Projects that are based on artificial intelligence, such as FET and AGIX.
DeFi: Leverages high volume smart contract platforms to provide financial products in crypto, mainly ERC20 tokens such as LINK and AAVE.
DEX: Decentralized exchanges with their own utility tokens, such as UNI and SUSHI.
Exchange: Centralized exchanges with their own utility tokens, such as BNB and CRO.
Gaming: Web3/crypto gaming platforms with their own utility tokens, such as AXS and GMT.
Meme: Similar to shit coins, but with no real functionality and based purely on social media and memes, such as DOGE and SHIB.
Metaverse: Projects that aim to provide Metaverse assets such as virtual land and assets, such as MANA and SAND.
NFT: Non-fungible tokens with their own token or NFT-based platforms that have their own utility tokens, such as APE and LOOKS.
Privacy: Anonymous and privacy-focused chains, such as XMR and ZEC.
Smart: Projects that provide smart contract alternatives to ETH, such as ADA and AVAX.
Sports: Fan tokens based on real-world sports teams or platforms that support and distribute them, such as CHZ and FLOW.
Shorting when Bollinger Band Above Price with RSI (by Coinrule)The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus providing the best time for buying and selling it.
The relative strength index ( RSI ) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI can do more than point to overbought and oversold securities. It can also indicate securities primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
The short order is placed on assets that present strong momentum when it's more likely that it is about to reverse. The rule strategy places and closes the order when the following conditions are met:
ENTRY
The closing price is greater than the upper standard deviation of the Bollinger Bands
The RSI is less than 70.
EXIT
The trade is closed when the RSI is less than 70
The lower standard deviation of the Bollinger Band is less than the closing price.
This strategy was backtested from the beginning of 2022 to capture how this strategy would perform in a bear market.
The strategy assumes each order to trade 70% of the available capital to make the results more realistic. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume.
Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
Customizable Moving Average RibbonThis indicator is a highly customizable moving average ribbon with some unique features.
This script can utilize multiple unique sources, including a non-repainting renko closing price. Renko charts focus solely on price movement and minimize the impacts of time and the extra noise time creates. Employing the renko close helps smooth out the MA ribbon. Insignificant price movements will not cause a change in the plotted lines of the indicator unless a new threshold is breached or a "brick" is created. This is highly useful for quickly identifying consolidation areas or overall flat price movement.
There are two methods for selecting the box size when utilizing the renko source. Box size is critical for the overall function and efficacy of the plots you will visually see with this indicator. Box size is set automatically using the Average True Range "ATR" or manually using the "Traditional" setting. The simplest way to determine a manual box size is to take the ATR of the given instrument and round it to the nearest decimal place. As an example, if the ATR for the asset is 0.18, you would round that number to 0.2 and utilize this as your traditional box size.
The MA ribbon contains eleven adjustable moving average lines. Users can choose to turn off as many as they would like. Users can also adjust the length of the individual moving averages and the source for all moving averages. There are nine types of moving averages to choose from for the ribbon. The MA options are:
Exponential Moving Average = 'EMA'
Double Exponential Moving Average= 'DEMA'
Triple Exponential Moving Average = 'TEMA'
Simple Moving Average = 'SMA'
Relative Moving Average = 'RMA'
Volume Weighted Moving Average = 'VWMA'
Weighted Moving Average = 'WMA'
Smoothed Simple Moving Average = 'SSMA'
Hull Moving Average = 'HULL'
We believe that the ribbons features, including the line color change, help quickly identify trends and give users optimum customization. Users can select from five different color schemes including:
Green/Red
Purple/White
White/Blue
Silver / Orange
Teal/ Orange
Multi indicators tableThis is a comprehensive trading tool that presents an overview of the market in a tabular format. It consists of five distinct categories of trading indicators : Volatility, Trend, Momentum, Reversal, and Volume. Each category includes a series of indicators that are widely used in the trading communauty.
The Volatility category includes the Average True Range (ATR) and Bollinger Bands indicators. The Trend category comprises the Average Directional Index (ADX), four Exponential Moving Averages (EMAs), Aroon, Parabolic SAR, and the Supertrend. The Momentum category includes the Stochastic Relative Strength Index (StochRSI), Money Flow Index (MFI), Williams %R, Relative Strength Index (RSI), and Commodity Channel Index (CCI). The Reversal category includes Parabolic SAR, Moving Average Convergence Divergence (MACD), and PP Supertrend. Finally, the Volume category includes the Volume Exponential Moving Average (EMA) indicator.
The indicators states are easily readable, the indicator case is colored based on his actual state. A bullish color (green by default), a bearish color (red by default),
a very bullish color (dark green by default), a very bearish color (dark red by default) and a neutral color (gray by default) displayed when the indicator doesn't give us a clear signal. Some indicators do not have a very bullish or very bearish state. Concerning volatility indicators, the bullish color indicates high volatility, the bearish color indicates low volatility, and the neutral color indicates normal volatility.
Most of the indicators displayed in the table are customizable, and traders can choose to hide the categories they don't want to use. The Indicator provides a quick and easily readable view on the market and allows traders to reduce the number of indicators on their chart making it lighter and more readable.
Bitcoin Correlation MapHello everyone,
This indicator shows the correlation coefficients of altcoins with bitcoin in a table.
What is the correlation coefficient?
The correlation coefficient is a value that takes a value between 0 and 1 when a parity makes similar movements with the reference parity, and takes a value between 0 and -1 when it makes opposite movements.
In order to obtain more meaningful and real-time results in this indicator, the weighted average of the correlation values of the last 200bar was used. You can change the bar length as you wish. With the correlation value, you can see the parities that have similar movements with bitcoin and integrate them into your strategy.
You can change the coin list as you wish, and you can also calculate their correlation with etherium instead of bitcoin .
The indicator shows the correlation value of 36 altcoins at the moment.
The indicator indicates the color of the correlated parities as green and the color of the inversely correlated parities as red.
Cheers
Dynamic Volume Oscillator [CryptoScripts]The Dynamic Volume Oscillator uses a combination of volume and momentum to nail whenever a reversal is likely to happen. I've also included divergences (both regular and hidden) that you can toggle on/off and adjust the settings to fit your trading style.
Colors - The green wave indicates an uptrend while the purple wave indicates a downtrend.
Overbought/Oversold - Green backgrounds indicate the DVO is oversold and a reversal to the upside is likely to happen within the next few candles. Red backgrounds indicate the DVO is overbought and a reversal to the downside is likely to happen within the next few candles. You can adjust the levels to trigger when the signal flashes. Experiment with different timeframes/altcoins to see which settings work best. Some coins are more volatile than others and lower timeframes tend to reach higher levels vs higher timeframes.
Divergences - The settings of 1 and 3 for the lookbacks are so the divergence signal appears only 1 candle before the actual divergence happens (on the replay tool) vs 4-5 candles from other indicators. This means your entry on a divergence signal is 2 candles after it prints (for backtesting purposes).
Alerts - I also added alerts for Overbought, Oversold, Regular and Hidden Bearish/Bullish Divergences.
Let me know if you have any questions! Enjoy :)
Token Metrics IndicatorThe Token Metrics Combined Indicator v2 is a comprehensive technical analysis tool designed to output Long/Short signals for crypto assets on TradingView. It combines multiple indicators, including Token Metrics Clouds, Token Metrics Trend Lines , Token Metrics Channels, and signals, to give a comprehensive outlook on the market trend and potential entry/exit points.
Users can backtest the signals to understand the strategy's historical performance, learn how to use it, identify its pros and cons, and determine the market conditions it best suits. It is important to note that the backtesting performance does not indicate future results.
The methods for calculating fixed stop-losses vary depending on the trading pattern. A fixed stop-loss is used for long-term trading, while a trading stop-loss is used for high-frequency trading. This provides flexible investment risk management, allowing you to assign different stop-loss percentages to different trading strategies.
The Length input allows users to control the indicator’s sensitivity, with a default value of 20 bars for long-term trading and 9 bars for high-frequency trading. The Adjustment Factor input has a default value of 0.1 and can be adjusted to adapt to changing levels of volatility . The Stop-loss input allows users to control their risk tolerance, with a default value of 8% for long-term trading and 2% for high-frequency trading.
Token Metrics Clouds incorporates a bullish / bearish trend indicator, which uses two adaptive moving averages that adapt to volatility , reducing false trend signals during range-bound environments and providing a more accurate representation of market trends.
The Token Metrics Trendline is a long-term indicator that uses an adaptive moving average to identify long-term trends. This can also be used for long-term resistance and support levels, providing a comprehensive overview of the current market situation for both long-term and high-frequency traders.
The Token Metrics Signals indicator provides long, short, and close signals, indicating when to enter and exit long or short positions based on the TM trend-following strategy.
The Token Metrics Channels indicator is a top/bottom indicator that adjusts to current levels of volatility . This uses adaptive Donchian channels to determine the previous short-term swing high and low, providing insight into where short-term resistance or support might be forming and where breakouts can occur. The look-back periods change according to the strategy time frame, offering a flexible and dynamic approach to market analysis.
Long-term trading is a trend-following strategy best suited for daily and weekly timeframes. This strategy works well in trending markets but may produce false signals in choppy or range-bound markets.
High-frequency trading is a mean-reverting strategy best suited for 15-minute, 30-minute, and 1-hour timeframes. This strategy performs well in choppy or range-bound markets but may not be effective in strong trending markets.
